A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
The design and implementation of a log-structured file system
ACM Transactions on Computer Systems (TOCS)
Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
Locality-aware request distribution in cluster-based network servers
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
SnapMirror: File-System-Based Asynchronous Mirroring for Disaster Recovery
FAST '02 Proceedings of the Conference on File and Storage Technologies
Increasing distributed storage survivability with a stackable RAID-like file system
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
FiST: a language for stackable file systems
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
The design and implementation of an extensible network backup system in realtime
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
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We propose a backup system based on a stackable mirroring file system, general-purpose mirroring file system (GMFS). This file system mirrors data in real-time on the file system layer. It uses the typical network file system (NFS) and backs up data to one or more NFS servers. Therefore, an existing empty resource can be used. It is necessary to backup data to two or more servers in case a backup server fails. Moreover, the throughput of read and write operations has been improved by adopting a method of calling a system function inside NFS. Experimental results shows that the throughput of read and write operations of GMFS is 2.4 times faster than that of conventional mirroring file systems. In addition, even when the number of backup servers increases, the decrease in throughput is small.